Abstract
Two new methods of liquid-crystal thermometry are developed to determine 2-dimensional temperature distributions, excluding human color sensation as quantitative measure of temperature. First method uses interference type optical filters having very narrow band of transmittance to take out an equi-color region selectively. Applying image processing technique, as many iso-therms as used filters can be drawn. Second method uses color-separation optical filters to obtain tristimulus distributions of the liquid-crystal surfaces and correlate temperature and tristimulus using multiple regression analysis. Three applications are carried out to visualize complicated temperature distributions on distrubed heat transfer surfaces and to demonstrate effectiveness of present methods.